Yotta Data Services has launched Shakti Studio, a new enterprise-grade AI cloud platform designed to simplify and accelerate how organizations build, fine-tune, and deploy large-scale artificial intelligence models. The platform is part of Yotta’s Shakti Cloud suite, offering a fully managed, serverless infrastructure that eliminates traditional GPU provisioning challenges and streamlines the model-to-market journey for enterprises, startups, and developers.
Shakti Studio combines scalable compute, automated fine-tuning, and production-ready AI endpoints for language, vision, and speech applications. It enables users to move from experimentation to deployment without navigating complex hardware and compliance requirements.
Serverless AI for Every Stage of Development
The platform offers elastic, on-demand GPU compute for both training and inference workloads, supported by a self-service portal that caters to diverse user groups — from students and researchers to large enterprises. Its key feature lies in being fully serverless, allowing users to scale resources automatically based on workload demand, without manual configuration.
For developers, Shakti Studio provides ready-to-call AI endpoints for tasks such as text generation, image processing, and speech analytics. It also supports fine-tuning of popular open-source models, helping teams customize base models for domain-specific and regional-language use cases.
Enterprises can leverage the platform’s SLA-backed infrastructure and compliance-ready environments, suitable for regulated sectors such as finance, healthcare, and government. The system integrates monitoring, governance, and performance management directly into the workflow, reducing both operational friction and compliance complexity.
Solving Enterprise AI Bottlenecks
Yotta’s Shakti Studio targets three critical barriers to enterprise AI adoption — limited GPU access, fragmented MLOps tooling, and regulatory constraints. By combining compute power, development tools, and compliance support within a unified platform, Yotta aims to reduce AI deployment timelines and operational overheads.
The company positions Shakti Studio as a catalyst for faster product launches, broader experimentation, and AI upskilling. Startups can access enterprise-grade compute at lower entry costs, while researchers and students gain hands-on experience with advanced AI frameworks.
The platform also allows flexible deployment — customers can choose between running workloads on their own infrastructure or on Yotta’s managed cloud. This dual approach ensures scalability for enterprises while maintaining control for institutions with data sovereignty requirements.
Expanding India’s AI Infrastructure Ecosystem
Shakti Studio’s launch strengthens India’s growing AI infrastructure ecosystem, which is witnessing rapid innovation across compute, storage, and AI orchestration layers. By packaging compute elasticity, AI model management, and governance into one platform, Yotta aims to democratize access to high-performance computing for enterprises of all sizes.
As global demand for AI infrastructure continues to rise, Yotta’s Shakti Cloud suite positions itself as a competitive alternative for companies seeking secure, scalable, and production-ready AI environments. The platform’s emphasis on accessibility, compliance, and speed could make it a strategic enabler for India’s expanding AI economy.
